def test_area_with_tgr_mfd(self):
trunc_mfd = mfd.TruncatedGRMFD(a_val=2.1,
b_val=4.2,
bin_width=0.1,
min_mag=6.55,
max_mag=8.91)
np1 = geo.NodalPlane(strike=0.0, dip=90.0, rake=0.0)
np2 = geo.NodalPlane(strike=90.0, dip=45.0, rake=90.0)
npd = pmf.PMF([(0.3, np1), (0.7, np2)])
hd = pmf.PMF([(0.5, 4.0), (0.5, 8.0)])
polygon = geo.Polygon([
geo.Point(-122.5, 37.5),
geo.Point(-121.5, 37.5),
geo.Point(-121.5, 38.5),
geo.Point(-122.5, 38.5)
])
area = source.AreaSource(
source_id="1",
name="source A",
tectonic_region_type="Active Shallow Crust",
mfd=trunc_mfd,
rupture_mesh_spacing=self.rupture_mesh_spacing,
magnitude_scaling_relationship=scalerel.PeerMSR(),
rupture_aspect_ratio=1.0,
upper_seismogenic_depth=0.0,
lower_seismogenic_depth=10.0,
nodal_plane_distribution=npd,
hypocenter_distribution=hd,
polygon=polygon,
area_discretization=10,
temporal_occurrence_model=PoissonTOM(50.),
)
actual = list(s.area_to_point_sources(area))
self.assertEqual(len(actual), 96) # expected 96 points
self.assertAlmostEqual(actual[0].mfd.a_val, 0.1177287669604317)
def test_area_with_tgr_mfd(self):
trunc_mfd = mfd.TruncatedGRMFD(
a_val=2.1, b_val=4.2, bin_width=0.1, min_mag=6.55, max_mag=8.91
)
np1 = geo.NodalPlane(strike=0.0, dip=90.0, rake=0.0)
np2 = geo.NodalPlane(strike=90.0, dip=45.0, rake=90.0)
npd = pmf.PMF([(0.3, np1), (0.7, np2)])
hd = pmf.PMF([(0.5, 4.0), (0.5, 8.0)])
polygon = geo.Polygon(
[geo.Point(-122.5, 37.5), geo.Point(-121.5, 37.5),
geo.Point(-121.5, 38.5), geo.Point(-122.5, 38.5)]
)
area = source.AreaSource(
source_id="1",
name="source A",
tectonic_region_type="Active Shallow Crust",
mfd=trunc_mfd,
rupture_mesh_spacing=self.rupture_mesh_spacing,
magnitude_scaling_relationship=scalerel.PeerMSR(),
rupture_aspect_ratio=1.0,
upper_seismogenic_depth=0.0,
lower_seismogenic_depth=10.0,
nodal_plane_distribution=npd,
hypocenter_distribution=hd,
polygon=polygon,
area_discretization=self.area_source_discretization,
temporal_occurrence_model=PoissonTOM(50.),
)
actual = list(s.area_to_point_sources(area, 10))
self.assertEqual(len(actual), 96) # expected 96 points
self.assertAlmostEqual(actual[0].mfd.a_val, 0.1177287669604317)
def _get_area_rates(self, source, mmin, mmax=np.inf):
"""
Adds the rates from the area source by discretising the source
to a set of point sources
:param source:
Area source as instance of :class:
openquake.hazardlib.source.area.AreaSource
"""
points = list(area_to_point_sources(source))
for point in points:
self._get_point_rates(point, mmin, mmax)
def _get_area_rates(self, source, mmin, mmax=np.inf):
"""
Adds the rates from the area source by discretising the source
to a set of point sources
:param source:
Area source as instance of :class:
openquake.hazardlib.source.area.AreaSource
"""
points = list(area_to_point_sources(source))
for point in points:
self._get_point_rates(point, mmin, mmax)
def area2pt_source(area_source_file, discretisation=200.):
"""Calls OpenQuake parsers to read area source model
from source_mode.xml type file, convert to point sources
and write to a new nrml source model file.
:params area_source_file:
nrml format file of the area source
:params discretisation:
Grid size (km) for the area source discretisation,
which defines the distance between resulting point
sources.
"""
converter = SourceConverter(50,
10,
width_of_mfd_bin=0.1,
area_source_discretization=discretisation)
parser = SourceModelParser(converter)
print[method
for method in dir(parser)] # if callable(getattr(parser, method))]
try:
sources = parser.parse_sources(area_source_file)
except AttributeError: # Handle version 2.1 and above
sources = []
groups = parser.parse_src_groups(area_source_file)
for group in groups:
for source in group:
sources.append(source)
name = 'test_point_model'
new_pt_sources = {}
for source in sources:
pt_sources = area_to_point_sources(source)
for pt in pt_sources:
pt.source_id = pt.source_id.replace(':', '')
pt.name = pt.name.replace(':', '_')
try:
new_pt_sources[pt.tectonic_region_type].append(pt)
except KeyError:
new_pt_sources[pt.tectonic_region_type] = [pt]
# print [method for method in dir(pt) if callable(getattr(pt, method))]
# print [attribute for attribute in dir(pt)]
nrml_pt_file = area_source_file[:-4] + '_pts.xml'
source_group_list = []
id = 0
for trt, sources in new_pt_sources.iteritems():
source_group = SourceGroup(trt, sources=sources, id=id)
id += 1
source_group_list.append(source_group)
write_source_model(nrml_pt_file, source_group_list, name='Leonard2008')
def test_area_with_incr_mfd(self):
incr_mfd = mfd.EvenlyDiscretizedMFD(min_mag=6.55,
bin_width=0.1,
occurrence_rates=[
0.0010614989,
8.8291627E-4,
7.3437777E-4,
6.108288E-4,
5.080653E-4,
])
np1 = geo.NodalPlane(strike=0.0, dip=90.0, rake=0.0)
np2 = geo.NodalPlane(strike=90.0, dip=45.0, rake=90.0)
npd = pmf.PMF([(0.3, np1), (0.7, np2)])
hd = pmf.PMF([(0.5, 4.0), (0.5, 8.0)])
polygon = geo.Polygon([
geo.Point(-122.5, 37.5),
geo.Point(-121.5, 37.5),
geo.Point(-121.5, 38.5),
geo.Point(-122.5, 38.5)
])
area = source.AreaSource(
source_id="1",
name="source A",
tectonic_region_type="Active Shallow Crust",
mfd=incr_mfd,
rupture_mesh_spacing=self.rupture_mesh_spacing,
magnitude_scaling_relationship=scalerel.PeerMSR(),
rupture_aspect_ratio=1.0,
upper_seismogenic_depth=0.0,
lower_seismogenic_depth=10.0,
nodal_plane_distribution=npd,
hypocenter_distribution=hd,
polygon=polygon,
area_discretization=10,
temporal_occurrence_model=PoissonTOM(50.0),
)
actual = list(s.area_to_point_sources(area))
self.assertEqual(len(actual), 96) # expected 96 points
assert_allclose(actual[0].mfd.occurrence_rates, [
1.10572802083e-05, 9.197044479166666e-06, 7.6497684375e-06,
6.3627999999999995e-06, 5.292346875e-06
])
def test_area_with_incr_mfd(self):
incr_mfd = mfd.EvenlyDiscretizedMFD(
min_mag=6.55, bin_width=0.1,
occurrence_rates=[
0.0010614989, 8.8291627E-4, 7.3437777E-4, 6.108288E-4,
5.080653E-4,
]
)
np1 = geo.NodalPlane(strike=0.0, dip=90.0, rake=0.0)
np2 = geo.NodalPlane(strike=90.0, dip=45.0, rake=90.0)
npd = pmf.PMF([(0.3, np1), (0.7, np2)])
hd = pmf.PMF([(0.5, 4.0), (0.5, 8.0)])
polygon = geo.Polygon(
[geo.Point(-122.5, 37.5), geo.Point(-121.5, 37.5),
geo.Point(-121.5, 38.5), geo.Point(-122.5, 38.5)]
)
area = source.AreaSource(
source_id="1",
name="source A",
tectonic_region_type="Active Shallow Crust",
mfd=incr_mfd,
rupture_mesh_spacing=self.rupture_mesh_spacing,
magnitude_scaling_relationship=scalerel.PeerMSR(),
rupture_aspect_ratio=1.0,
upper_seismogenic_depth=0.0,
lower_seismogenic_depth=10.0,
nodal_plane_distribution=npd,
hypocenter_distribution=hd,
polygon=polygon,
area_discretization=self.area_source_discretization,
temporal_occurrence_model=PoissonTOM(50.0),
)
actual = list(s.area_to_point_sources(area, 10))
self.assertEqual(len(actual), 96) # expected 96 points
assert_allclose(
actual[0].mfd.occurrence_rates,
[1.10572802083e-05, 9.197044479166666e-06, 7.6497684375e-06,
6.3627999999999995e-06, 5.292346875e-06])